iPhone 12 Pro Max
Geekbench AI Score
1536
Single Precision Score
10130
Half Precision Score
7989
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 03:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
889
165.3 IPS |
|
|
Image Classification (HP)
|
100% |
4421
822.1 IPS |
|
|
Image Classification (Q)
|
96% |
3997
746.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
393
6.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
4018
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
55757
65.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59714
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
961
76.2 IPS |
|
|
Object Detection (HP)
|
99% |
5813
462.4 IPS |
|
|
Object Detection (Q)
|
93% |
4184
333.8 IPS |
|
|
Face Detection (SP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
11239
133.5 IPS |
|
|
Face Detection (Q)
|
100% |
10087
119.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3117
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
32393
249.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
40629
317.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7813
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96902
124.6 IPS |
|
|
Style Transfer (Q)
|
96% |
102277
132.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2179
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14493
535.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16155
596.5 IPS |
|
|
Text Classification (SP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2486
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1604
27.7 IPS |
